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Record W2604436715

Projective Techniques Usage Worldwide: A Review of Applied Settings 1995-2015

2015· review· en· W2604436715 on OpenAlexaboutno aff
Chris Piotrowski

Bibliographic record

VenueJournal of the Indian Academy of Applied Psychology · 2015
Typereview
Languageen
FieldPsychology
TopicPsychological Testing and Assessment
Canadian institutionsnot available
Fundersnot available
KeywordsRorschach testProjective testTest (biology)PsychologyMillerMental healthDemographySocial psychologySociologyPsychiatryPsychoanalysis
DOInot available

Abstract

fetched live from OpenAlex

Copious survey data, from the 1940s through the 1980s, attest to the clinical popularity of projective techniques in mental health settings worldwide, particularly in the USA (chronologically: Louttit & Browne, 1947; Frank, 1948; Burton, 1949; Sundberg, 1961; Hinkle, Nelson, & Miller, 1968; Lubin et al., 1971; Brown & McGuire, 1976; Wade & Baker, 1977; Piotrowski & Keller, 1978, 1989; Sell & Torres-Henry, 1979; Fee, Elkins, & Boyd, 1982; Tuma & Pratt, 1982; Lubin, Larsen, & Matarazzo, 1984; Piotrowski, 1985; Sweeney, Clarkin, & Fitzgiggon, 1987; Harrison et al., 1988; Bubenzer, Zimpher, & Mahrle, 1990; Archer et al., 1991). Thus, over these years, projective techniques were found to be popular in adult settings, used frequently in child and adolescent assessment (Cashel, 2002), relied upon by school psychologists (Hutton, Dubes, & Muir, 1992; Miller & Nickerson, 2007), and applied in forensic settings (Hamel, Gallagher, & Soares, 2001). Interestingly, the Rorschach and TAT have been accepted in the assessment armamentarium by clinicians harboring a behavioral orientation (see Piotrowski & Keller, 1984).Furthermore, applications of projective testing to culturally-diverse populations and ethnic groups have been evident in the research literature (e.g., Dana, 1998; Lindzey, 1961; Retief, 1987).Few survey-based studies on test usage outside the USA appeared in the 1970s; for example in Canada (La Pointe, 1974), in South America (Gonzalez, 1977), and in Germany (Schober, 1977). In the 1980s, test usage patterns were noted in a survey of the British Psychological Society (Tyler, 1986). Later, Piotrowski, Keller, & Ogawa (1992) reported on projective test usage patterns in four countries during the 1980s, i.e., USA, Japan, Netherlands, and China (Hong Kong). The analysis showed that projective tests were quite popular in clinical assessments across all these geographical regions. However, it must be noted that during these decades, the sentiment toward projective techniques was quite unfavorable across Europe (see Mahmood, 1988; Poortinga et al., 1982; Porteous, 1986; Rausch de Traubenberg, 1976). However, survey data from the early 1990s found that projective measures were quite popular in Japan (Ogawa & Piotrowski, 1992). Unfortunately, some published reports on test use internationally tend to omit discussion of projective tests (e.g., Cheung, 2004; Evers et al., 2012; Oakland, 2004; Paterson & Uys, 2005).Critical Appraisal of Projective TechniquesNevertheless, there were perennial concerns and critiques of projective techniques over the last 50 years (see Butcher, 2006; Piotrowski, 1984; Reynolds, 1979). It was not until the early 1990s that an onslaught of hardened opposition to use most projective techniques was evident from many quarters (Garb 1999; Garb, Wood, Lilienfeld, & Nezworski, 2002; Hunsley & Bailey, 1999; Medoff, 2010; Wood, Nezworski, & Stejskal, 1996; Ziskin,1995).In support of these rather reviled appraisals, extensive reviews of the literature concluded that validity evidence for projective techniques has been very limited (see Lilienfeld, Wood, & Garb, 2000; Mihura, Meyer, Dumitrascu, & Bombel, 2013; Motta, Little, & Tobin, 1993; Smith & Dumont, 1995), including reviews by European researchers (e.g., Wittkowski, 1996). However, other researchers, in reviewing meta-analytic studies, have reported positive differential diagnostic outcomes regarding several projective tests (e.g.,Kahill, 1984; Kubiszyn et al., 2000; Piotrowski, 1999). In psychometric theory, the central contention regarding assessment instruments rests on 'validity' metrics that reflect psychological and behavioral tendencies (see Abell, Wood, & Liebman, 2001; Bornstein, 1999; Messick, 1995). With regard to projective tests, the focus of criticism was predominantly targeted at the lack of validity per se. Based on this dramatic shift (commencing around 25 years ago) to expunge projective techniques from both training emphasis and clinical practice, it would be of interest to examine extant published data on clinical use of projective techniques in clinical and other applied settings since 1990. …

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.008
metaresearch head score (Gemma)0.022
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.018
Threshold uncertainty score0.040

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.022
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0180.027
Science and technology studies0.0010.003
Scholarly communication0.0040.004
Open science0.0020.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0070.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.105
GPT teacher head0.471
Teacher spread0.366 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSystematic review
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations34
Published2015
Admission routes1
Has abstractyes

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